Hydrological Sciences Journal-journal Des Sciences Hydrologiques
人气:4

Hydrological Sciences Journal-journal Des Sciences Hydrologiques SCISCIE

  • ISSN:0262-6667
  • 出版商:TAYLOR & FRANCIS LTD
  • 出版语言:Multi-Language
  • E-ISSN:2150-3435
  • 出版地区:ENGLAND
  • 是否预警:
  • 创刊时间:1982
  • 出版周期:8 issues/year
  • 影响因子:2.186
  • 是否OA:未开放
  • 文章自引率:0.1184...
  • 开源占比:0.1004
  • OA被引用占比:0.1400...
  • 出版国人文章占比:0.08
  • 国际标准简称:HYDROLOG SCI J
  • 中文名称:水文科学杂志-水文科学杂志
  • 影响因子:2.186
  • OA被引用占比:0.1400...
  • 开源占比:0.1004
  • 文章自引率:0.1184...
  • 出版国人文章占比:0.08

推荐合适期刊 投稿指导 助力快速见刊

Hydrological Sciences Journal-journal Des Sciences Hydrologiques 期刊简介

Hydrological Sciences Journal-journal Des Sciences Hydrologiques是一本期刊。由TAYLOR & FRANCIS LTD出版社出版。创刊于1982年,此外,该刊同时被SCI,SCIE数据库收录,它始终坚持创新,不断专注于发布高度有价值的研究成果。

同时,我们注重来稿文章表述的清晰度,以及其与我们的读者群体和研究领域的相关性。为此,我们期待所有投稿的文章能够保持简洁明了、组织有序、表述清晰。若您对于稿件是否适合该期刊存在疑虑,建议您在提交前主动与期刊主编取得联系,或咨询本站的客服老师。我们的客服老师将根据您的研究内容和方向,为您推荐最为合适的期刊,助力您顺利投稿,实现学术成果的顺利发表。

发文统计

国家/地区发文量统计
国家/地区 数量
USA 117
CHINA MAINLAND 83
GERMANY (FED REP GER) 61
Iran 57
England 48
India 48
Italy 45
Sweden 43
Netherlands 40
Canada 38
机构发文量统计
机构 数量
HELMHOLTZ ASSOCIATION 23
DELFT UNIVERSITY OF TECHNOLOGY 21
UPPSALA UNIVERSITY 21
INDIAN INSTITUTE OF TECHNOLOGY SYSTEM (IIT SYSTEM) 17
CENTRE OF NATURAL HAZARDS & DISASTER SCIENCE (CNDS) 16
CHINESE ACADEMY OF SCIENCES 15
UNIVERSITY OF ZURICH 15
IHE DELFT INSTITUTE FOR WATER EDUCATION 14
INRAE 14
WAGENINGEN UNIVERSITY & RESEARCH 14

高引用文章

文章名称 引用次数
Twenty-three unsolved problems in hydrology (UPH) - a community perspective 88
Measurements and Observations in the XXI century (MOXXI): innovation and multi-disciplinarity to sense the hydrological cycle 38
How the performance of hydrological models relates to credibility of projections under climate change 26
Techniques for assessing water infrastructure for nonstationary extreme events: a review 22
Modelling long-term groundwater fluctuations by extreme learning machine using hydro-climatic data 19
Estimation of monthly reference evapotranspiration using novel hybrid machine learning approaches 18
Evaluating model performance: towards a non-parametric variant of the Kling-Gupta efficiency 17
Estimation of SCS Curve Number variation following forest fires 17
How to improve attribution of changes in drought and flood impacts 16
Incorporating synoptic-scale climate signals for streamflow modelling over the Mediterranean region using machine learning models 16

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